- imgaussfilt: J = imgaussfilt(img)
- imgaussfilt: J = imgaussfilt(…, sigma)
- imgaussfilt: J = imgaussfilt(…, name, value, …)
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Filters the image img with a 2d gaussian kernel and returns a smoothed image J.
Parameters:
- ‘img’
The image to be filtered. Must be an image type, cannot be logical or non-numeric.
- ‘sigma’
The standard deviation of the gausian filter. Can be a scalar or a two element vector If sigma is a vector, the function will use a square gaussian kernel. By default sigma is 0.5.
- ‘name, value’
Additional options as name-value pairs:
- ‘padding’
Determines how the image is padded. Value can be one of the following:
- ‘S’
Pads the image with the scalar S.
- ‘"replicate" (default)’
Pads the image with the border pixel value.
- ‘"symmetric"’
Pads the image by mirroring it at the image border.
- ‘"circular"’
Pads the image with pixel values from the opposite image border, essentially treating the image as periodic.
- ‘Filter Domain’
Determines the domain in which to perform the filtering. Values can be one of the following:
- ‘"auto"’
The function determines the filter domain based on internal heuristics.
- ‘"frequency"’
Perform convolution in the frequency domain.
- ‘"spatial"’
Perform convolution in the spatial domain.
See also: imfilter, imboxfilt.
Package: image